ef3473db21
Complete snapshot of /opt/microdao-daarion/ from NODE1 (144.76.224.179).
This represents the actual running production code that has diverged
significantly from the previous main branch.
Key changes from old main:
- Gateway (http_api.py): expanded from ~40KB to 164KB with full agent support
- Router: new /v1/agents/{id}/infer endpoint with vision + DeepSeek routing
- Behavior Policy: SOWA v2.2 (3-level: FULL/ACK/SILENT)
- Agent Registry: config/agent_registry.yml as single source of truth
- 13 agents configured (was 3)
- Memory service integration
- CrewAI teams and roles
Excluded from snapshot: venv/, .env, data/, backups, .tgz archives
Co-authored-by: Cursor <cursoragent@cursor.com>
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|
||
|
||
<li class="md-nav__item">
|
||
<a href="#1-rag-gateway-service" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
1. RAG-Gateway service
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#2-haystack-as-internal-orchestrator" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2. Haystack as internal orchestrator
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#data-model-schema" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Data model & schema
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Data model & schema">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#1-milvus-document-schema" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
1. Milvus document schema
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#2-neo4j-graph-schema" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2. Neo4j graph schema
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#rag-tools-api-for-agents" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
RAG tools API for agents
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="RAG tools API for agents">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#1-ragsearch_docs" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
1. rag.search_docs
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#2-graphquery_context" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2. graph.query_context
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#3-ragenrich_answer" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
3. rag.enrich_answer
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#multi-tenancy-security" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Multi-tenancy & security
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ingestion-pipelines" class="md-nav__link">
|
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<span class="md-ellipsis">
|
||
Ingestion & pipelines
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Ingestion & pipelines">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#1-ingest-service-worker" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
1. Ingest service / worker
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
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<a href="#2-event-contracts" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2. Event contracts
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
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|
||
<li class="md-nav__item">
|
||
<a href="#optimization-for-agents" class="md-nav__link">
|
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<span class="md-ellipsis">
|
||
Optimization for agents
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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|
||
<li class="md-nav__item">
|
||
<a href="#files-to-createmodify-suggested" class="md-nav__link">
|
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<span class="md-ellipsis">
|
||
Files to create/modify (suggested)
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#acceptance-criteria" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
Acceptance criteria
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#how-to-run-this-task-with-cursor" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
How to run this task with Cursor
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
|
||
</nav>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
<div class="md-content" data-md-component="content">
|
||
<article class="md-content__inner md-typeset">
|
||
|
||
|
||
|
||
|
||
<h1 id="task-unified-rag-gateway-service-milvus-neo4j-for-all-agents">Task: Unified RAG-Gateway service (Milvus + Neo4j) for all agents<a class="headerlink" href="#task-unified-rag-gateway-service-milvus-neo4j-for-all-agents" title="Permanent link">¶</a></h1>
|
||
<h2 id="goal">Goal<a class="headerlink" href="#goal" title="Permanent link">¶</a></h2>
|
||
<p>Design and implement a <strong>single RAG-gateway service</strong> that sits between agents and storage backends (Milvus, Neo4j, etc.), so that:</p>
|
||
<ul>
|
||
<li>Agents never talk directly to Milvus or Neo4j.</li>
|
||
<li>All retrieval, graph queries and hybrid RAG behavior go through one service with a clear API.</li>
|
||
<li>Security, multi-tenancy, logging, and optimization are centralized.</li>
|
||
</ul>
|
||
<p>This task is about <strong>architecture and API</strong> first (code layout, endpoints, data contracts). A later task can cover concrete implementation details if needed.</p>
|
||
<blockquote>
|
||
<p>This spec is intentionally high-level but should be detailed enough for Cursor to scaffold the service, HTTP API, and integration points with DAGI Router.</p>
|
||
</blockquote>
|
||
<hr />
|
||
<h2 id="context">Context<a class="headerlink" href="#context" title="Permanent link">¶</a></h2>
|
||
<ul>
|
||
<li>Project root: <code>microdao-daarion/</code>.</li>
|
||
<li>There are (or will be) multiple agents:</li>
|
||
<li>DAARWIZZ (system orchestrator)</li>
|
||
<li>Helion (Energy Union)</li>
|
||
<li>Team/Project/Messenger/Co-Memory agents, etc.</li>
|
||
<li>Agents already have access to:</li>
|
||
<li>DAGI Router (LLM routing, tools, orchestrator).</li>
|
||
<li>Memory service (short/long-term chat memory).</li>
|
||
<li>Parser-service (OCR and document parsing).</li>
|
||
</ul>
|
||
<p>We now want a <strong>RAG layer</strong> that can:</p>
|
||
<ul>
|
||
<li>Perform semantic document search across all DAO documents / messages / files.</li>
|
||
<li>Use a <strong>vector DB</strong> (Milvus) and <strong>graph DB</strong> (Neo4j) together.</li>
|
||
<li>Provide a clean tool-like API to agents.</li>
|
||
</ul>
|
||
<p>The RAG layer should be exposed as a standalone service:</p>
|
||
<ul>
|
||
<li>Working name: <code>rag-gateway</code> or <code>knowledge-service</code>.</li>
|
||
<li>Internally can use Haystack (or similar) for pipelines.</li>
|
||
</ul>
|
||
<hr />
|
||
<h2 id="high-level-architecture">High-level architecture<a class="headerlink" href="#high-level-architecture" title="Permanent link">¶</a></h2>
|
||
<h3 id="1-rag-gateway-service">1. RAG-Gateway service<a class="headerlink" href="#1-rag-gateway-service" title="Permanent link">¶</a></h3>
|
||
<p>Create a new service (later we can place it under <code>services/rag-gateway/</code>), with HTTP API, which will:</p>
|
||
<ul>
|
||
<li>Accept tool-style requests from DAGI Router / agents.</li>
|
||
<li>Internally talk to:</li>
|
||
<li>Milvus (vector search, embeddings).</li>
|
||
<li>Neo4j (graph queries, traversals).</li>
|
||
<li>Return structured JSON for agents to consume.</li>
|
||
</ul>
|
||
<p>Core API endpoints (first iteration):</p>
|
||
<ul>
|
||
<li><code>POST /rag/search_docs</code> — semantic/hybrid document search.</li>
|
||
<li><code>POST /rag/enrich_answer</code> — enrich an existing answer with sources.</li>
|
||
<li><code>POST /graph/query</code> — run a graph query (Cypher or intent-based).</li>
|
||
<li><code>POST /graph/explain_path</code> — return graph-based explanation / path between entities.</li>
|
||
</ul>
|
||
<p>Agents will see these as tools (e.g. <code>rag.search_docs</code>, <code>graph.query_context</code>) configured in router config.</p>
|
||
<h3 id="2-haystack-as-internal-orchestrator">2. Haystack as internal orchestrator<a class="headerlink" href="#2-haystack-as-internal-orchestrator" title="Permanent link">¶</a></h3>
|
||
<p>Within the RAG-gateway, use Haystack components (or analogous) to organize:</p>
|
||
<ul>
|
||
<li><code>MilvusDocumentStore</code> as the main vector store.</li>
|
||
<li>Retrievers:</li>
|
||
<li>Dense retriever over Milvus.</li>
|
||
<li>Optional BM25/keyword retriever (for hybrid search).</li>
|
||
<li>Pipelines:</li>
|
||
<li><code>indexing_pipeline</code> — ingest DAO documents/messages/files into Milvus.</li>
|
||
<li><code>query_pipeline</code> — answer agent queries using retrieved documents.</li>
|
||
<li><code>graph_rag_pipeline</code> — combine Neo4j graph queries with Milvus retrieval.</li>
|
||
</ul>
|
||
<p>The key idea: <strong>agents never talk to Haystack directly</strong>, only to RAG-gateway HTTP API.</p>
|
||
<hr />
|
||
<h2 id="data-model-schema">Data model & schema<a class="headerlink" href="#data-model-schema" title="Permanent link">¶</a></h2>
|
||
<h3 id="1-milvus-document-schema">1. Milvus document schema<a class="headerlink" href="#1-milvus-document-schema" title="Permanent link">¶</a></h3>
|
||
<p>Define a standard metadata schema for all documents/chunks stored in Milvus. Required fields:</p>
|
||
<ul>
|
||
<li><code>team_id</code> / <code>dao_id</code> — which DAO / team this data belongs to.</li>
|
||
<li><code>project_id</code> — optional project-level grouping.</li>
|
||
<li><code>channel_id</code> — optional chat/channel ID (Telegram, internal channel, etc.).</li>
|
||
<li><code>agent_id</code> — which agent produced/owns this piece.</li>
|
||
<li><code>visibility</code> — one of <code>"public" | "confidential"</code>.</li>
|
||
<li><code>doc_type</code> — one of <code>"message" | "doc" | "file" | "wiki" | "rwa" | "transaction"</code> (extensible).</li>
|
||
<li><code>tags</code> — list of tags (topics, domains, etc.).</li>
|
||
<li><code>created_at</code> — timestamp.</li>
|
||
</ul>
|
||
<p>These should be part of Milvus metadata, so that RAG-gateway can apply filters (by DAO, project, visibility, etc.).</p>
|
||
<h3 id="2-neo4j-graph-schema">2. Neo4j graph schema<a class="headerlink" href="#2-neo4j-graph-schema" title="Permanent link">¶</a></h3>
|
||
<p>Design a <strong>minimal default graph model</strong> with node labels:</p>
|
||
<ul>
|
||
<li><code>User</code>, <code>Agent</code>, <code>MicroDAO</code>, <code>Project</code>, <code>Channel</code></li>
|
||
<li><code>Topic</code>, <code>Resource</code>, <code>File</code>, <code>RWAObject</code> (e.g. energy asset, food batch, water object).</li>
|
||
</ul>
|
||
<p>Key relationships (examples):</p>
|
||
<ul>
|
||
<li><code>(:User)-[:MEMBER_OF]->(:MicroDAO)</code></li>
|
||
<li><code>(:Agent)-[:SERVES]->(:MicroDAO|:Project)</code></li>
|
||
<li><code>(:Doc)-[:MENTIONS]->(:Topic)</code></li>
|
||
<li><code>(:Project)-[:USES]->(:Resource)</code></li>
|
||
</ul>
|
||
<p>Every node/relationship should also carry:</p>
|
||
<ul>
|
||
<li><code>team_id</code> / <code>dao_id</code></li>
|
||
<li><code>visibility</code> or similar privacy flag</li>
|
||
</ul>
|
||
<p>This allows RAG-gateway to enforce access control at query time.</p>
|
||
<hr />
|
||
<h2 id="rag-tools-api-for-agents">RAG tools API for agents<a class="headerlink" href="#rag-tools-api-for-agents" title="Permanent link">¶</a></h2>
|
||
<p>Define 2–3 canonical tools that DAGI Router can call. These map to RAG-gateway endpoints.</p>
|
||
<h3 id="1-ragsearch_docs">1. <code>rag.search_docs</code><a class="headerlink" href="#1-ragsearch_docs" title="Permanent link">¶</a></h3>
|
||
<p>Main tool for most knowledge queries.</p>
|
||
<p><strong>Request JSON example:</strong></p>
|
||
<div class="codehilite"><pre><span></span><code><span class="p">{</span>
|
||
<span class="w"> </span><span class="nt">"agent_id"</span><span class="p">:</span><span class="w"> </span><span class="s2">"ag_daarwizz"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"team_id"</span><span class="p">:</span><span class="w"> </span><span class="s2">"dao_greenfood"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"query"</span><span class="p">:</span><span class="w"> </span><span class="s2">"які проєкти у нас вже використовують Milvus?"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"top_k"</span><span class="p">:</span><span class="w"> </span><span class="mi">5</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"filters"</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nt">"project_id"</span><span class="p">:</span><span class="w"> </span><span class="s2">"prj_x"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"doc_type"</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">"doc"</span><span class="p">,</span><span class="w"> </span><span class="s2">"wiki"</span><span class="p">],</span>
|
||
<span class="w"> </span><span class="nt">"visibility"</span><span class="p">:</span><span class="w"> </span><span class="s2">"public"</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<p><strong>Response JSON example:</strong></p>
|
||
<div class="codehilite"><pre><span></span><code><span class="p">{</span>
|
||
<span class="w"> </span><span class="nt">"matches"</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
|
||
<span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nt">"score"</span><span class="p">:</span><span class="w"> </span><span class="mf">0.82</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"title"</span><span class="p">:</span><span class="w"> </span><span class="s2">"Spec microdao RAG stack"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"snippet"</span><span class="p">:</span><span class="w"> </span><span class="s2">"..."</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"source_ref"</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nt">"type"</span><span class="p">:</span><span class="w"> </span><span class="s2">"doc"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"id"</span><span class="p">:</span><span class="w"> </span><span class="s2">"doc_123"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"url"</span><span class="p">:</span><span class="w"> </span><span class="s2">"https://..."</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"team_id"</span><span class="p">:</span><span class="w"> </span><span class="s2">"dao_greenfood"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"doc_type"</span><span class="p">:</span><span class="w"> </span><span class="s2">"doc"</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="w"> </span><span class="p">]</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<h3 id="2-graphquery_context">2. <code>graph.query_context</code><a class="headerlink" href="#2-graphquery_context" title="Permanent link">¶</a></h3>
|
||
<p>For relationship/structural questions ("хто з ким повʼязаний", "які проєкти використовують X" etc.).</p>
|
||
<p>Two options (can support both):</p>
|
||
<ol>
|
||
<li><strong>Low-level Cypher</strong>:</li>
|
||
</ol>
|
||
<p><code>json
|
||
{
|
||
"team_id": "dao_energy",
|
||
"cypher": "MATCH (p:Project)-[:USES]->(r:Resource {name:$name}) RETURN p LIMIT 10",
|
||
"params": {"name": "Milvus"}
|
||
}</code></p>
|
||
<ol>
|
||
<li><strong>High-level intent</strong>:</li>
|
||
</ol>
|
||
<p><code>json
|
||
{
|
||
"team_id": "dao_energy",
|
||
"intent": "FIND_PROJECTS_BY_TECH",
|
||
"args": {"tech": "Milvus"}
|
||
}</code></p>
|
||
<p>RAG-gateway then maps intent → Cypher internally.</p>
|
||
<h3 id="3-ragenrich_answer">3. <code>rag.enrich_answer</code><a class="headerlink" href="#3-ragenrich_answer" title="Permanent link">¶</a></h3>
|
||
<p>Given a draft answer from an agent, RAG-gateway retrieves supporting documents and returns enriched answer + citations.</p>
|
||
<p><strong>Request example:</strong></p>
|
||
<div class="codehilite"><pre><span></span><code><span class="p">{</span>
|
||
<span class="w"> </span><span class="nt">"team_id"</span><span class="p">:</span><span class="w"> </span><span class="s2">"dao_greenfood"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"question"</span><span class="p">:</span><span class="w"> </span><span class="s2">"Поясни коротко архітектуру RAG шару в нашому місті."</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"draft_answer"</span><span class="p">:</span><span class="w"> </span><span class="s2">"Архітектура складається з ..."</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"max_docs"</span><span class="p">:</span><span class="w"> </span><span class="mi">3</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<p><strong>Response example:</strong></p>
|
||
<div class="codehilite"><pre><span></span><code><span class="p">{</span>
|
||
<span class="w"> </span><span class="nt">"enriched_answer"</span><span class="p">:</span><span class="w"> </span><span class="s2">"Архітектура складається з ... (з врахуванням джерел)"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nt">"sources"</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="nt">"id"</span><span class="p">:</span><span class="w"> </span><span class="s2">"doc_1"</span><span class="p">,</span><span class="w"> </span><span class="nt">"title"</span><span class="p">:</span><span class="w"> </span><span class="s2">"RAG spec"</span><span class="p">,</span><span class="w"> </span><span class="nt">"url"</span><span class="p">:</span><span class="w"> </span><span class="s2">"https://..."</span><span class="p">},</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="nt">"id"</span><span class="p">:</span><span class="w"> </span><span class="s2">"doc_2"</span><span class="p">,</span><span class="w"> </span><span class="nt">"title"</span><span class="p">:</span><span class="w"> </span><span class="s2">"Milvus setup"</span><span class="p">,</span><span class="w"> </span><span class="nt">"url"</span><span class="p">:</span><span class="w"> </span><span class="s2">"https://..."</span><span class="p">}</span>
|
||
<span class="w"> </span><span class="p">]</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h2 id="multi-tenancy-security">Multi-tenancy & security<a class="headerlink" href="#multi-tenancy-security" title="Permanent link">¶</a></h2>
|
||
<p>Add a small <strong>authorization layer</strong> inside RAG-gateway:</p>
|
||
<ul>
|
||
<li>Each request includes:</li>
|
||
<li><code>user_id</code>, <code>team_id</code> (DAO), optional <code>roles</code>.</li>
|
||
<li><code>mode</code> / <code>visibility</code> (e.g. <code>"public"</code> or <code>"confidential"</code>).</li>
|
||
<li>Before querying Milvus/Neo4j, RAG-gateway applies filters:</li>
|
||
<li><code>team_id = ...</code></li>
|
||
<li><code>visibility</code> within allowed scope.</li>
|
||
<li>Optional role-based constraints (Owner/Guardian/Member) affecting what doc_types can be seen.</li>
|
||
</ul>
|
||
<p>Implementation hints:</p>
|
||
<ul>
|
||
<li>Start with a simple <code>AccessContext</code> object built from request, used by all pipelines.</li>
|
||
<li>Later integrate with existing PDP/RBAC if available.</li>
|
||
</ul>
|
||
<hr />
|
||
<h2 id="ingestion-pipelines">Ingestion & pipelines<a class="headerlink" href="#ingestion-pipelines" title="Permanent link">¶</a></h2>
|
||
<p>Define an ingestion plan and API.</p>
|
||
<h3 id="1-ingest-service-worker">1. Ingest service / worker<a class="headerlink" href="#1-ingest-service-worker" title="Permanent link">¶</a></h3>
|
||
<p>Create a separate ingestion component (can be part of RAG-gateway or standalone worker) that:</p>
|
||
<ul>
|
||
<li>Listens to events like:</li>
|
||
<li><code>message.created</code></li>
|
||
<li><code>doc.upsert</code></li>
|
||
<li><code>file.uploaded</code></li>
|
||
<li>For each event:</li>
|
||
<li>Builds text chunks.</li>
|
||
<li>Computes embeddings.</li>
|
||
<li>Writes chunks into Milvus with proper metadata.</li>
|
||
<li>Updates Neo4j graph (nodes/edges) where appropriate.</li>
|
||
</ul>
|
||
<p>Requirements:</p>
|
||
<ul>
|
||
<li>Pipelines must be <strong>idempotent</strong> — re-indexing same document does not break anything.</li>
|
||
<li>Create an API / job for <code>reindex(team_id)</code> to reindex a full DAO if needed.</li>
|
||
<li>Store embedding model version in metadata (e.g. <code>embed_model: "bge-m3@v1"</code>) to ease future migrations.</li>
|
||
</ul>
|
||
<h3 id="2-event-contracts">2. Event contracts<a class="headerlink" href="#2-event-contracts" title="Permanent link">¶</a></h3>
|
||
<p>Align ingestion with the existing Event Catalog (if present in <code>docs/cursor</code>):</p>
|
||
<ul>
|
||
<li>Document which event types lead to RAG ingestion.</li>
|
||
<li>For each event, define mapping → Milvus doc, Neo4j nodes/edges.</li>
|
||
</ul>
|
||
<hr />
|
||
<h2 id="optimization-for-agents">Optimization for agents<a class="headerlink" href="#optimization-for-agents" title="Permanent link">¶</a></h2>
|
||
<p>Add support for:</p>
|
||
<ol>
|
||
<li>
|
||
<p><strong>Semantic cache per agent</strong></p>
|
||
</li>
|
||
<li>
|
||
<p>Cache <code>query → RAG-result</code> for N minutes per (<code>agent_id</code>, <code>team_id</code>).</p>
|
||
</li>
|
||
<li>
|
||
<p>Useful for frequently repeated queries.</p>
|
||
</li>
|
||
<li>
|
||
<p><strong>RAG behavior profiles per agent</strong></p>
|
||
</li>
|
||
<li>
|
||
<p>In agent config (probably in router config), define:</p>
|
||
<ul>
|
||
<li><code>rag_mode: off | light | strict</code></li>
|
||
<li><code>max_context_tokens</code></li>
|
||
<li><code>max_docs_per_query</code></li>
|
||
</ul>
|
||
</li>
|
||
<li>RAG-gateway can read these via metadata from Router, or Router can decide when to call RAG at all.</li>
|
||
</ol>
|
||
<hr />
|
||
<h2 id="files-to-createmodify-suggested">Files to create/modify (suggested)<a class="headerlink" href="#files-to-createmodify-suggested" title="Permanent link">¶</a></h2>
|
||
<blockquote>
|
||
<p>NOTE: This is a suggestion; adjust exact paths/names to fit the existing project structure.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li>New service directory: <code>services/rag-gateway/</code>:</li>
|
||
<li><code>main.py</code> — FastAPI (or similar) entrypoint.</li>
|
||
<li><code>api.py</code> — defines <code>/rag/search_docs</code>, <code>/rag/enrich_answer</code>, <code>/graph/query</code>, <code>/graph/explain_path</code>.</li>
|
||
<li><code>core/pipelines.py</code> — Haystack pipelines (indexing, query, graph-rag).</li>
|
||
<li><code>core/schema.py</code> — Pydantic models for request/response, data schema.</li>
|
||
<li><code>core/access.py</code> — access control context + checks.</li>
|
||
<li><code>core/backends/milvus_client.py</code> — wrapper for Milvus.</li>
|
||
<li>
|
||
<p><code>core/backends/neo4j_client.py</code> — wrapper for Neo4j.</p>
|
||
</li>
|
||
<li>
|
||
<p>Integration with DAGI Router:</p>
|
||
</li>
|
||
<li>Update <code>router-config.yml</code> to define RAG tools:<ul>
|
||
<li><code>rag.search_docs</code></li>
|
||
<li><code>graph.query_context</code></li>
|
||
<li><code>rag.enrich_answer</code></li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<p>Configure providers for RAG-gateway base URL.</p>
|
||
</li>
|
||
<li>
|
||
<p>Docs:</p>
|
||
</li>
|
||
<li><code>docs/cursor/rag_gateway_api_spec.md</code> — optional detailed API spec for RAG tools.</li>
|
||
</ul>
|
||
<hr />
|
||
<h2 id="acceptance-criteria">Acceptance criteria<a class="headerlink" href="#acceptance-criteria" title="Permanent link">¶</a></h2>
|
||
<ol>
|
||
<li>
|
||
<p><strong>Service skeleton</strong></p>
|
||
</li>
|
||
<li>
|
||
<p>A new RAG-gateway service exists under <code>services/</code> with:</p>
|
||
<ul>
|
||
<li>A FastAPI (or similar) app.</li>
|
||
<li>Endpoints:</li>
|
||
<li><code>POST /rag/search_docs</code></li>
|
||
<li><code>POST /rag/enrich_answer</code></li>
|
||
<li><code>POST /graph/query</code></li>
|
||
<li><code>POST /graph/explain_path</code></li>
|
||
<li>Pydantic models for requests/responses.</li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<p><strong>Data contracts</strong></p>
|
||
</li>
|
||
<li>
|
||
<p>Milvus document metadata schema is defined (and used in code).</p>
|
||
</li>
|
||
<li>
|
||
<p>Neo4j node/edge labels and key relationships are documented and referenced in code.</p>
|
||
</li>
|
||
<li>
|
||
<p><strong>Security & multi-tenancy</strong></p>
|
||
</li>
|
||
<li>
|
||
<p>All RAG/graph endpoints accept <code>user_id</code>, <code>team_id</code>, and enforce at least basic filtering by <code>team_id</code> and <code>visibility</code>.</p>
|
||
</li>
|
||
<li>
|
||
<p><strong>Agent tool contracts</strong></p>
|
||
</li>
|
||
<li>
|
||
<p>JSON contracts for tools <code>rag.search_docs</code>, <code>graph.query_context</code>, and <code>rag.enrich_answer</code> are documented and used by RAG-gateway.</p>
|
||
</li>
|
||
<li>
|
||
<p>DAGI Router integration is sketched (even if not fully wired): provider entry + basic routing rule examples.</p>
|
||
</li>
|
||
<li>
|
||
<p><strong>Ingestion design</strong></p>
|
||
</li>
|
||
<li>
|
||
<p>Ingestion pipeline is outlined in code (or stubs) with clear TODOs:</p>
|
||
<ul>
|
||
<li>where to hook event consumption,</li>
|
||
<li>how to map events to Milvus/Neo4j.</li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<p>Idempotency and <code>reindex(team_id)</code> strategy described in code/docs.</p>
|
||
</li>
|
||
<li>
|
||
<p><strong>Documentation</strong></p>
|
||
</li>
|
||
<li>
|
||
<p>This file (<code>docs/cursor/rag_gateway_task.md</code>) plus, optionally, a more detailed API spec file for RAG-gateway.</p>
|
||
</li>
|
||
</ol>
|
||
<hr />
|
||
<h2 id="how-to-run-this-task-with-cursor">How to run this task with Cursor<a class="headerlink" href="#how-to-run-this-task-with-cursor" title="Permanent link">¶</a></h2>
|
||
<p>From repo root (<code>microdao-daarion</code>):</p>
|
||
<div class="codehilite"><pre><span></span><code>cursor<span class="w"> </span>task<span class="w"> </span><<span class="w"> </span>docs/cursor/rag_gateway_task.md
|
||
</code></pre></div>
|
||
|
||
<p>Cursor should then:</p>
|
||
<ul>
|
||
<li>Scaffold the RAG-gateway service structure.</li>
|
||
<li>Implement request/response models and basic endpoints.</li>
|
||
<li>Sketch out Milvus/Neo4j client wrappers and pipelines.</li>
|
||
<li>Optionally, add TODOs where deeper implementation is needed.</li>
|
||
</ul>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
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|
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|
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